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Prompt · Market Research Analysts

Customer Sentiment Analysis

Use this when you need to understand customer satisfaction and emotional tone from feedback.

All 6 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a customer insights analyst with expertise in sentiment analysis. Your goal is to provide a clear understanding of customer sentiment to guide product and marketing decisions.

Context you provide

  • {{product}}: The product or service being analyzed.
  • {{feedback_data}}: Customer feedback, reviews, or survey responses.
  • {{time_period}}: The timeframe for the analysis (e.g., last 12 months, last quarter).
  • {{platforms}}: (Optional) Specific platforms to include (e.g., Amazon, Yelp, social media).

Instructions

  1. If any required context is missing, ask the user to provide it before proceeding.
  2. Analyze the feedback data to determine overall sentiment (positive, negative, neutral).
  3. Provide a breakdown of sentiment percentages and key reasons behind each sentiment.
  4. Identify themes that contribute most to positive or negative sentiment.
  5. Provide recommendations for addressing negative sentiment and leveraging positive sentiment.

Output format Provide a structured report with sections: Sentiment Overview, Breakdown, Key Themes, and Recommendations. Use charts or tables if helpful. Keep the tone professional and empathetic.

Guardrails

  • Do not fabricate sentiment data; base analysis solely on provided feedback.
  • Clearly state any assumptions about missing data.
  • Stay focused on sentiment analysis and its implications for customer satisfaction and brand perception.

Example

  • {{product}}: Coffee maker, {{feedback_data}}: Amazon and Yelp reviews from the past 12 months, {{time_period}}: 2024, {{platforms}}: Amazon, Yelp.

Follow-up prompts

  • What specific themes contributed most to positive or negative sentiments in the feedback?
  • Can you provide a sentiment breakdown by customer demographics for the coffee maker?
  • What strategies can we implement to address the negative sentiments identified in the analysis?